Computational Systems Biology: From Molecular Mechanisms to Disease
Editat de Andres Kriete, Roland Eilsen Limba Engleză Hardback – 16 ian 2014
- Logical information flow aids understanding of basic building blocks of life through disease phenotypes
- Evolved principles gives insight into underlying organizational principles of biological organizations, and systems processes, governing functions such as adaptation or response patterns
- Coverage of technical tools and systems helps researchers to understand and resolve specific systems biology problems using advanced computation
- Multi-scale modeling on disparate scales aids researchers understanding of dependencies and constraints of spatio-temporal relationships fundamental to biological organization and function.
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Specificații
ISBN-13: 9780124059269
ISBN-10: 0124059260
Pagini: 548
Ilustrații: Approx. 150 illustrations
Dimensiuni: 191 x 235 x 25 mm
Greutate: 1.09 kg
Ediția:Revised
Editura: ELSEVIER SCIENCE
ISBN-10: 0124059260
Pagini: 548
Ilustrații: Approx. 150 illustrations
Dimensiuni: 191 x 235 x 25 mm
Greutate: 1.09 kg
Ediția:Revised
Editura: ELSEVIER SCIENCE
Public țintă
Graduate students and researchers in Bioinformatics, Biocomputing, Theoretical Biology, Biochemistry/Biophysics, and Cell Biology.Cuprins
Introducing Computational Systems Biology; Protein Interactions, Stability and Regulation; Transcriptional control; Introduction to Computational Models of Biochemical Reaction Networks; Biological Foundations of Signal Transduction and Aberrations in Disease; A discrete approach to top-down modeling of biochemical networks; Reconstruction of metabolic network from genome information and its structural and functional analysis; Gene networks: estimation, modeling and simulation; Standards, platforms and tools; Computational models for circadian rhythms: Deterministic versus stochastic approaches; Integrated imaging informatics; Imaging and Modeling of complex tumor formation; Imaging to help decipher an model higher orders of complexity; Multistability and multicellularity: cell fates as high-dimensional attractors of gene regulatory networks; Whole Cell Modeling; Databases for Systems Biology; Systems Biology of the Microbiome; Systems Immunology; Applying systems biology to understand the immune response to infection and vaccination; Aging and Systems Biology; From Cardiac Mitochondria to Systems Physiology; Cancer Systems Biology; Systems Medicine, Drug Biology and Interventions; Towards a blueprint of an entire organism
Recenzii
"…revised and updated to include the latest advances in cancer, aging, and development modeling research. The first chapter introduces the field and reviews the content to follow, while the ensuing six chapters lay the foundations of modeling networks, systems analysis, biochemistry, and signal transduction underlying the systems approach,…" --ProtoView.com, April 2014